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/*
* This file is part of spark.
*
* Copyright (C) Albert Pham <http://www.sk89q.com>
* Copyright (c) lucko (Luck) <luck@lucko.me>
* Copyright (c) contributors
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package me.lucko.spark.sampler;
import com.google.common.util.concurrent.ThreadFactoryBuilder;
import com.google.gson.stream.JsonWriter;
import me.lucko.spark.sampler.aggregator.DataAggregator;
import me.lucko.spark.sampler.aggregator.SimpleDataAggregator;
import me.lucko.spark.sampler.aggregator.TickedDataAggregator;
import me.lucko.spark.sampler.node.ThreadNode;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.lang.management.ManagementFactory;
import java.lang.management.ThreadInfo;
import java.lang.management.ThreadMXBean;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.ScheduledFuture;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.zip.GZIPOutputStream;
/**
* Main sampler class.
*/
public class Sampler implements Runnable {
private static final AtomicInteger THREAD_ID = new AtomicInteger(0);
/** The worker pool for inserting stack nodes */
private final ScheduledExecutorService workerPool = Executors.newScheduledThreadPool(
9, new ThreadFactoryBuilder().setNameFormat("spark-worker-" + THREAD_ID.getAndIncrement() + "-%d").build()
);
/** The main sampling task */
private ScheduledFuture<?> task;
/** The thread management interface for the current JVM */
private final ThreadMXBean threadBean = ManagementFactory.getThreadMXBean();
/** The instance used to generate thread information for use in sampling */
private final ThreadDumper threadDumper;
/** Responsible for aggregating and then outputting collected sampling data */
private final DataAggregator dataAggregator;
/** A future to encapsulation the completion of this sampler instance */
private final CompletableFuture<Sampler> future = new CompletableFuture<>();
/** The interval to wait between sampling, in milliseconds */
private final int interval;
/** The time when sampling first began */
private long startTime = -1;
/** The unix timestamp (in millis) when this sampler should automatically complete.*/
private final long endTime; // -1 for nothing
public Sampler(int interval, ThreadDumper threadDumper, ThreadGrouper threadGrouper, long endTime) {
this.threadDumper = threadDumper;
this.dataAggregator = new SimpleDataAggregator(this.workerPool, threadGrouper, interval);
this.interval = interval;
this.endTime = endTime;
}
public Sampler(int interval, ThreadDumper threadDumper, ThreadGrouper threadGrouper, long endTime, TickCounter tickCounter, int tickLengthThreshold) {
this.threadDumper = threadDumper;
this.dataAggregator = new TickedDataAggregator(this.workerPool, tickCounter, threadGrouper, interval, tickLengthThreshold);
this.interval = interval;
this.endTime = endTime;
}
/**
* Starts the sampler.
*/
public void start() {
this.startTime = System.currentTimeMillis();
this.dataAggregator.start();
this.task = workerPool.scheduleAtFixedRate(this, 0, interval, TimeUnit.MILLISECONDS);
}
public long getStartTime() {
if (this.startTime == -1) {
throw new IllegalStateException("Not yet started");
}
return this.startTime;
}
public long getEndTime() {
return this.endTime;
}
public CompletableFuture<Sampler> getFuture() {
return this.future;
}
public void cancel() {
task.cancel(false);
}
@Override
public void run() {
try {
if (this.endTime != -1 && this.endTime <= System.currentTimeMillis()) {
this.future.complete(this);
cancel();
return;
}
ThreadInfo[] threadDumps = this.threadDumper.dumpThreads(this.threadBean);
for (ThreadInfo threadInfo : threadDumps) {
String threadName = threadInfo.getThreadName();
StackTraceElement[] stack = threadInfo.getStackTrace();
if (threadName == null || stack == null) {
continue;
}
this.dataAggregator.insertData(threadName, stack);
}
} catch (Throwable t) {
this.future.completeExceptionally(t);
cancel();
}
}
private void writeOutput(JsonWriter writer) throws IOException {
writer.beginObject();
writer.name("type").value("sampler");
writer.name("threads").beginArray();
List<Map.Entry<String, ThreadNode>> data = new ArrayList<>(this.dataAggregator.getData().entrySet());
data.sort(Map.Entry.comparingByKey());
for (Map.Entry<String, ThreadNode> entry : data) {
writer.beginObject();
writer.name("threadName").value(entry.getKey());
writer.name("totalTime").value(entry.getValue().getTotalTime());
writer.name("rootNode");
entry.getValue().serializeTo(writer);
writer.endObject();
}
writer.endArray();
writer.endObject();
}
public byte[] formCompressedDataPayload() {
ByteArrayOutputStream byteOut = new ByteArrayOutputStream();
try (Writer writer = new OutputStreamWriter(new GZIPOutputStream(byteOut), StandardCharsets.UTF_8)) {
try (JsonWriter jsonWriter = new JsonWriter(writer)) {
writeOutput(jsonWriter);
}
} catch (IOException e) {
throw new RuntimeException(e);
}
return byteOut.toByteArray();
}
}
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